Gorham-Stout disease(GSD) is a rare osteolytic disorder characterized by spontaneous and progressive osteolysis, along with abnormal angiogenesis and lymphangiogenesis, with no new bone formation. We present a case of a 15-year-old female admitted due to " recurrent right leg pain for 5 years, 11 months after undergoing right femoral fracture surgery". Through comprehensive integration of the patient's clinical phenotype, laboratory tests, imaging findings, pathological examinations, and molecular biological test results, GSD was considered highly likely. A multidisciplinary treatment approach was conducted, including a combination of zoledronic acid and sirolimus to inhibit osteolysis, along with rehabilitation training and orthopedic intervention, providing a personalized and comprehensive treatment strategy.

AIM:To investigate the current status and influencing factors of knowledge-attitude-practice in myopia prevention and control among children and adolescents in Ningbo City, thereby providing a scientific basis for formulating targeted prevention strategies.METHODS: Children and adolescents aged 6-12 years old were selected from the medical-school collaborative myopia prevention network in Ningbo City between August 2024 and May 2025 using stratified cluster sampling. Information on myopia prevention knowledge(15 items)and practice(9 items)was collected through questionnaire surveys. Logistic regression models were used to analyze factors influencing myopia occurrence in children and adolescents.RESULTS: A total of 664 children and adolescents aged 6-12 years were enrolled in this study. Participants were divided by age into three groups: 6-7 years old(n=221), 8-9 years old(n=221), and 10-12 years old(n=222). Of the 664 questionnaires distributed, 637 valid questionnaires were returned(201 from the 6-7 age group, 235 from the 8-9 age group, and 201 from the 10-12 age group), yielding an effective response rate of 95.9%. Based on myopia screening results, the non-myopic group comprised 203 participants(31.9%), including 100 males and 103 females, with a mean age of 8.82±1.98 years old. The myopic group comprised 434 participants(68.1%), including 213 males and 221 females, with a mean age of 9.10±1.95 years old. The myopia prevalence rates in the 6-7, 8-9, and 10-12 age groups were 37.8%(76/201), 71.9%(169/235), and 94.0%(189/201), respectively(P<0.001). Regarding the knowledge and practice of myopia prevention, the overall awareness rate in the non-myopic group(59.7%±9.7%)was significantly higher than that in the myopic group(48.7%±8.5%; P<0.001). Additionally, the non-myopic group scored higher on the key practice of “regular eye examinations”(4.27±0.96)compared to the myopic group(4.10±1.05; P<0.05). Logistic regression analysis indicated that age was the primary risk factor for myopia occurrence.CONCLUSION: Age is the dominant factor in the onset of myopia, and there is a phenomenon of “knowledge-practice gap”; the traditional health education model has limitations, and a precise prevention and control system based on developmental patterns should be established.

Metabolic dysfunction-associated fatty liver disease （MAFLD） progresses to metabolic dysfunction-associated steatohepatitis （MASH） due to mitochondrial homeostasis imbalance and dysfunction in hepatocytes caused by various factors such as lipotoxicity and inflammatory infiltration. Recent studies have confirmed that mitochondrial injury is closely associated with chronic inflammation， with extracellular vesicle （EV） acting as a key mediator linking the two processes. This article systematically reviews the molecular mechanisms of hepatocyte mitochondrial dysfunction in MAFLD/MASH， highlights the regulatory role of hepatocyte-derived EV in intrahepatic inflammation， and discusses the potential application prospects of mitochondria-targeted therapies and intercellular communication interventions in MAFLD/MASH， in order to provide a theoretical basis for developing novel therapeutic strategies for these diseases.

The traditional web version of cancer screening information management platform can not fully meet the complex requirements of current early cancer diagnosis and treatment pro-grams,due to its functional limitation,low efficiency of data processing and difficulties in up-grading screening acceptability and effectiveness.This paper analyzes the informational require-ment for cancer early diagnosis and early treatment programs;introduces the design and construc-tion of an intellectualized management information platform;elaborates the roles of digital intelli-gence technology in the whole-process management,including intelligent health management;emphasizes the importance of improving the supervision and evaluation system for its high-quality development.The paper also discusses economic barriers and other issues related to the applica-tion of digital intelligence technology.

Mycobacterium tuberculosis ( Mtb) is the causative agent of tuberculosis in humans and animals. Mtb invades the host′s lungs via airborne transmission, infects macrophages and causes tuberculosis. In some cases, the infection can spread to other tissues and organs. Despite the availability of several drugs for the treatment of tuberculosis, the emergence of multi-drug-resistant tuberculosis has led to high morbidity and mortality rates worldwide. Therefore, there is an urgent need for researchers to develop new anti-tuberculosis drugs that can treat tuberculosis more efficiently. Recent studies have shown that the virulence factors of Mtb play a crucial role in its pathogenicity. These factors primarily include secreted proteins, transcription factors, proteases, stress response proteins, metabolism-associated proteins, and cell-surface components. By evading the host′s immune surveillance through mechanisms such as anti-oxidative stress, regulating nutrient synthesis and metabolism, and modulating host cells apoptosis, Mtb is able to achieve long-term survival and spread with in the host. Understanding the mechanisms of Mtb virulence factors can provide new directions for targeted tuberculosis therapy. Therefore, knowledge of these virulence factors is essential for the development of new vaccines and anti-tuberculosis drugs. In this review, we summarize the latest research progress in the virulence factors of Mtb to provide a reference for targeted treatment of tuberculosis.

With the advancement of the "New Medical Science" reform, the "Medicine+X" model has emerged as a key direction for the future development of medical education. Multidisciplinary integration places higher demands on both educators and students. Emerging technologies, such as intelligent tutoring systems, adaptive learning platforms, intelligent campus management systems, and ChatGPT, have made personalized learning possible. Such approaches offer notable advantages, including improving learning efficiency, enhancing motivation, eliminating the spatiotemporal constraints of clinical education, and alleviating teachers′ workloads. Nevertheless, the application of artificial intelligence in personalized medical education still faces multiple challenges, such as issues of data quality and reliability, the need for faculty development, shifts in educational paradigms, and ethical considerations. This study explored the current status of artificial intelligence in personalized medical education and offered recommendations to promote its development, including strengthening the integration of technology and education, enhancing the digital literacy of educators, establishing ethical guidelines, and fostering multi-stakeholder collaboration.

In traditional teaching, medical students have limited opportunities to interact with patients, which constrains the development of their clinical skills. Virtual standardized patients offer a potential solution to this limitation. This article analyzes the advantages of virtual standardized patients and their application in clinical teaching.

Medical students often struggle to understand and master the relevant knowledge and skills in teaching, especially in surgical teaching. Emerging 3D printing technology can help students to understand and master surgical techniques. The problem-based learning (PBL) teaching method helps students to develop their independent thinking and teamwork skills. The combination of these methods has already achieved significant success. Therefore, this article discusses the application and combining 3D printing technology with the PBL teaching method in medical teaching, particularly in urological surgery education, and provides new ideas and references for future, more diverse, and high-tech medical education.

Cognitive decline is an early sign of dementia, mainly manifested as the ability to learn new knowledge and memory decline in the near future, so early detection, early diagnosis, early treatment are an important research direction to alleviate dementia population. Previous studies have shown that blood pressure variability (BPV) is an important risk factor for cognitive decline. At present, there is a lack of systematic understanding of the specific effects of BPV on different subdomains of cognitive function and the treatment standard of BPV. This paper reviews the existing clinical studies, emphasizes that abnormal BPV causes adverse cognitive outcomes in all age groups, and proposes future research directions.

Hypoplastic left heart syndrome is a congenital heart disease characterized by mitral and（or）aortic valve stenosis or atresia，leading to the hypoplasia of the left ventricle，ascending aorta and aortic arch.If not treated in time，most children die within a few weeks after birth.Congenital complete atrioventricular block is a rare congenital cardiac conduction disorder.When combined with severe cardiac malformations，the mortality rate is extremely high.In this case，a 26-year-old pregnant woman with a history of 3 pregnancies and 1 delivery，had a natural conception with monochorionic diamniotic twins. At 22 +5 weeks of gestation，it was first found that one of the twins had hypoplastic left heart syndrome with congenital complete atrioventricular block through fetal echocardiography detection.This situation was extremely rare，and there was a lack of clinical guidelines on how to manage the pregnancy and determine the time of delivery time.In this case，prenatal ultrasound was used to monitor and comprehensively evaluate fetal cardiac function through the cerebroplacental ratio（CPR）combined with the cardiovascular overall performance score（CVPS）.Pregnancy safety management was implemented，and a cesarean section was performed at an elective time.Another healthy fetus did not suffer any adverse effects. This case provides strong evidence for ensuring the safety of healthy fetus and mother in perinatal period.It is also confirmed that CPR and CVPS combined evaluation of fetal cardiac function and pregnancy outcome will be more accurate and comprehensive.This method is simple，accurate，non-invasive，and can be used as an effective method for clinical evaluation of fetal cardiac function.